White Space Networking in the TV Bands & Beyond Ranveer Chandra Microsoft Research Collaborators: Thomas Moscibroda, Victor Bahl, Bozidar Radunovic, Ivan Tashev, Paul Garnett, Paul Mitchell Rohan Murty (Harvard), George Nychis (CMU), Eeyore Wang (CMU), Aakanksha Chowdhery (Stanford)
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White Space Networking in the TV Bands & Beyond Ranveer Chandra Microsoft Research Collaborators: Thomas Moscibroda, Victor Bahl, Bozidar Radunovic, Ivan.
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White Space Networking in the TV Bands & Beyond
Ranveer ChandraMicrosoft Research
Collaborators: Thomas Moscibroda, Victor Bahl, Bozidar Radunovic, Ivan Tashev, Paul Garnett, Paul Mitchell
Rohan Murty (Harvard), George Nychis (CMU), Eeyore Wang (CMU), Aakanksha Chowdhery (Stanford)
The Big Spectrum Crunch
FCC Broadband Plan calls it the “Impending Spectrum Crisis”
Limited amount of good spectrum, while demand increasing exponentially
Growing Demand
Devices Proliferation*
VideoUploads
Mobile Data Traffic**
Streaming VideoIncreasing Wireless
Demand
20X - 40XOVER THE NEXT
FIVE YEARS
50 BILLIONCONNECTED DEVICES
BY 2020
35X2009 LEVELS
BY 2014
24 HOURSUPLOADED EVERY
60 SECONDS
*See Ericsson Press Release, quoting its President and Chief Executive Officer Hans Vestberg, April 13, 2010, available at http://
FCC Broadband Plan calls it the “Impending Spectrum Crisis”
Limited amount of good spectrum, while demand increasing
CTIA has requested for 800 MHz by 2015
FCC promises to provide 500 MHz by that time“The industry is quickly approaching the point where consumer demand for mobile broadband data will surpass the telecommunication companies’ abilities to handle the traffic. Something needs to happen soon” De la Vega, chair of CTIA, 2009
“Customers Angered as iPhones Overload AT&T” Headline in New York Times , 2.Sept 2009
“Globally, mobile data traffic is expected to double every year through 2013. Whether an iPhone, a Storm or a Gphone, the world is changing. We’re just starting to scratch the surface of these issues that AT&T is facing.”, Cisco Systems, 2009
“Heaviest Users of Phone Data Will Pay More” Headline in New York Times , 2.June 2010
Spectrum Allocation in the US
5
In contrast...
Large portions of spectrum is unutilized
6
Dynamic Spectrum Access
• Determine available spectrum (white spaces)
• Transmit in “available frequencies”• Detect if primary user appears • Move to new frequencies• Adapt bandwidth and power levels
Pow
er
Frequency
PU1
PU2
PU4
PU3
Adapted from Bob Brodersen’s presentation at Microsoft Research Summit 2008
Sensing: Pros: Leads to more availability of white
spaces, allows disconnected operation Cons: Energy hungry, inaccurate, expensive
Geo-location: Pros: easily extensible, simpler to implement Cons: miss out on white spaces, e.g. indoors
24
CHANNEL SELECTION
25
Channel Assignment in Wi-Fi
Fixed Width Channels Optimize which channel to use
1 6 11 1 6 11
26
Spectrum Assignment in WhiteFi
1 2 3 4 5
Spatial Variation BS must use channel iff free at clientFragmentation Optimize for both, center channel and width
1 2 3 4 5
Spectrum Assignment Problem
Goal Maximize Throughput
Include Spectrum at clients
AssignCenter Channel
Width&
27
Accounting for Spatial Variation
1 2 3 4 5 1 2 3 4 5 1 2 3 4 5
=1 2 3 4 5 1 2 3 4 51 2 3 4 51 2 3 4 5
28
Intuition
BSUse widest possible channel
Intuition
1 3 4 52Limited by most busy channel
But
Carrier Sense Across All Channels
All channels must be free ρBS(2 and 3 are free) = ρBS(2 is free) x ρBS(3 is free)
Tradeoff between wider channel widths and opportunity to transmit on each channel
29
Multi Channel Airtime Metric (MCham)
BS
ρBS(2) Free Air Time on Channel 2
1 3 4 52
ρBS(2) Contention
1ρn(c) = Approx. opportunity node n will get to transmit on channel cρBS(2) = Max (Free Air Time on channel 2, 1/Contention)
MChamn (F, W) = ),(
)(5 WFc
n cMhz
W
Pick (F, W) that maximizes (N * MChamBS + ΣnMChamn)
0 10 20 30 40 500
0.51
1.52
2.53
3.5 20 Mhz 10 MHz 5 MHz
Background traffic - Packet delay (ms)
Thro
ughp
ut (M
bps)
0 5 10 15 20 25 30 35 40 45 500
0.5
1
1.5
2
2.5 20 Mhz 10 MHz
5 MHz
Background traffic - Packet delay (ms)
MCh
am-v
alue
Campus Wide WhiteFi Network
FCC Experimental License (Granted: July 6, 2009)
Centered at (47.6442N, 122.1330W)
Area of 1 square mile
Perimeter of 4.37 miles
WSD on 5-10 campus buildings
Fixed BS operate at 4 W EIRP
WSD inside shuttles at 100 mW EIRP
3-13-2
4-1
6-1
5-3
5-2 5-1
1-2
1-1
6-2
4-2
Goal: Deploy a white space network that provides corp. net access in Microsoft shuttles
Range Experiments
MSR’s Redmond Campus Route taken by the shuttle (0.95 miles x 0.75 miles)
Raw received power at differentDistances from the transmitter
~4x range compared to 2.4 GHz (Wi-Fi) with same transmit power and receiver sensitivity
White-Fi: Deployment
Implemented and deployed the world’s first operational white space network on Microsoft Redmond campus (Oct. 16, 2009)White Space Network Setup
Data packets over UHF
WS Antenna
Shuttle Deployment
WS Antenna on MS Shuttle
In this talk…
DSA: Need & a primer
Networking in the TV White Spaces
What’s missing in the TV white space ruling Open research questions
DSA in other network bands
33
Coexisting with MICs?
34
FCC & other regulators reserve entire channel for MICs
Setup
CoNEXT 2011
ObservationsTime: Even short packets (16 µs) every 500 ms cause audible interference
Power: No interference when received power was below squelch tones
Frequency: #subcarriers to suppress depends on distance from MIC receiver
How to reuse a TV channel without causing audible interference to MIC?
Coexistence among WS devices
35
4W
100mW
Results from our indoor WS testbed
Carrier Sense does not work!
Our Solution: Weeble• PHY: adaptive preamble detection at low SNR• MAC: Recover CSMA using PHY detector
Indoor White Spaces
Geo-location DB is conservative indoors LR-based models do not account for losses
through doors & walls Sensing is expensive!
36
00.10.20.30.40.50.60.70.80.9
1
Attenuation caused by door (dB)
Frac
tion
of lo
catio
ns (C
DF)
Can we install in-building geo-location servers to provide benefit of both?
LOOKING AHEAD: WHITE SPACES BEYOND TV BANDS
37With: Aakanksha Chowdhery (Stanford), Paul Garnett, Paul Mitchell
PCAST Report, July 2012
Directs govt. agencies to identify 1000 MHz and “create the first shared use spectrum super highways”
Creation of test city & mobile test service to support development of DSA techniques
Suggests possible frequencies suitable for DSA
38
What spectrum is good for DSA?
Prior spectrum occupancy measurements: Limited time span (1 hour to 1 week) Uses fixed thresholds to determine occupancy Mostly single point measurements (or few
static points) No easy way to translate occupancy to DSA!
39
Our Approach
40
Fixed RFEye Measurements
Mobile Spectrum Measurements
FCC Spectrum
Dashboard
Combined DSA metric Spectrum goodness for DSA at location